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Notice that the Censor Code is set to Right.
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Click OK.
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The subscript “x” denotes the accelerating variable, which is Degrees in this example.
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Click Generate Report.
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The estimates of the slope b1 at the three values of Degrees suggest that degradation occurs more quickly at higher temperatures. Failure mechanisms that depend on chemical processes are often well modeled using the Arrhenius model for temperature. For this reason, you now fit a model where an Arrhenius transformation is applied to Degrees, which is measured on a Celsius scale.
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Select μ = b0 ± Exp(b1 + b2*Arrhenius(X))*f(time) for the Path Definition.
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Click Generate Report.
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Because the Arrhenius model shows a better fit, as indicated by its smaller AICc and BIC values (Report Including Second Model with Arrhenius Transformation), you continue your analysis using this model.
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The predicted Strength at these settings is 62.25173, with a 95% prediction interval ranging from 50.0318 to 77.4563. Failures are not very likely at these or less extreme settings.
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